Table 3.
Logistic regression of 48 genes to recurrence outcome conducted on the ovarian cancer dataset
| Gene | Estimate | Std. Error | t value | Pr(>|t|) |
|---|---|---|---|---|
| MLH3 | −0.1436620 | 0.0508329 | −2.826 | 0.00506 |
| BRCA2 | −0.1229546 | 0.0434042 | −2.833 | 0.00496 |
| LIG3 | −0.0960805 | 0.0733806 | −1.309 | 0.19152 |
| LIG1 | −0.0912946 | 0.0479346 | −1.905 | 0.05789 |
| MSH3 | −0.0576118 | 0.0442279 | −1.303 | 0.19381 |
| XRCC5 | −0.0561888 | 0.0382077 | −1.471 | 0.14255 |
| RAD51 | −0.0554070 | 0.0411657 | −1.346 | 0.17944 |
| PAXX | −0.0516596 | 0.0345574 | −1.495 | 0.13610 |
| ERCC4 | −0.0406260 | 0.0504662 | −0.805 | 0.42151 |
| POLM | −0.0379293 | 0.0343613 | −1.104 | 0.27064 |
| WRN | −0.0337736 | 0.0395686 | −0.854 | 0.39411 |
| PMS1 | −0.0323849 | 0.0315185 | −1.027 | 0.30510 |
| POLL | −0.0280872 | 0.0334922 | −0.839 | 0.40242 |
| XRCC7 | −0.0236921 | 0.0450393 | −0.526 | 0.59929 |
| APTX | −0.0219715 | 0.0355848 | −0.617 | 0.53746 |
| PNKP | −0.0185921 | 0.0412459 | −0.451 | 0.65252 |
| MSH2 | −0.0154689 | 0.0681421 | −0.227 | 0.82059 |
| RPA1 | −0.0019469 | 0.0380689 | −0.051 | 0.95925 |
| PARP3 | −0.0015842 | 0.0347633 | −0.046 | 0.96369 |
| DCLRE1C | −0.0009017 | 0.0410132 | −0.022 | 0.98248 |
| ATR | −0.0007959 | 0.0466153 | −0.017 | 0.98639 |
| RAD1 | 0.0031648 | 0.0360723 | 0.088 | 0.93015 |
| BRCA1 | 0.0060448 | 0.0409094 | 0.148 | 0.88264 |
| XRCC6 | 0.0061608 | 0.0364277 | 0.169 | 0.86583 |
| CTBP1 | 0.0066763 | 0.0324354 | 0.206 | 0.83707 |
| EXD2 | 0.0072041 | 0.0383797 | 0.188 | 0.85125 |
| POLQ | 0.0114784 | 0.0533366 | 0.215 | 0.82977 |
| APLF | 0.0127893 | 0.0366496 | 0.349 | 0.72739 |
| RBBP8 | 0.0133334 | 0.0310312 | 0.430 | 0.66777 |
| MSH6 | 0.0185962 | 0.0675222 | 0.275 | 0.78321 |
| LIG4 | 0.0279871 | 0.0363777 | 0.769 | 0.44235 |
| MRE11 | 0.0281447 | 0.0412834 | 0.682 | 0.49598 |
| XRCC4 | 0.0342550 | 0.0403606 | 0.849 | 0.39678 |
| RAD50 | 0.0374275 | 0.0363462 | 1.030 | 0.30404 |
| NHEJ1 | 0.0408071 | 0.0380589 | 1.072 | 0.28457 |
| PARP1 | 0.0414107 | 0.0448986 | 0.922 | 0.35718 |
| RIF1 | 0.0422092 | 0.0426535 | 0.990 | 0.32325 |
| TP53BP1 | 0.0426385 | 0.0435148 | 0.980 | 0.32802 |
| ERCC1 | 0.0475018 | 0.0399575 | 1.189 | 0.23555 |
| XRCC1 | 0.0490576 | 0.0404126 | 1.214 | 0.22583 |
| TDP1 | 0.0608796 | 0.0413757 | 1.471 | 0.14234 |
| EXO1 | 0.0630913 | 0.0546782 | 1.154 | 0.24956 |
| ATM | 0.0633327 | 0.0488009 | 1.298 | 0.19546 |
| H2AX | 0.0751909 | 0.0396955 | 1.894 | 0.05926 |
| TP53 | 0.0774415 | 0.0315229 | 2.457 | 0.01465 |
| NBN | 0.0788570 | 0.0333537 | 2.364 | 0.01877 |
| MLH1 | 0.0867637 | 0.0397749 | 2.181 | 0.03001 |
| RAD52 | 0.1173069 | 0.0437177 | 2.683 | 0.00774 |
Logistic regression for the gene dataset was conducted and each gene was ordered by the estimates. Positive estimates of gene expression are associated with likelihood for recurrence whereas the negative estimates contribute to low recurrence probability. Standard error, a t-value, and a p value for each gene in the logistic regression model was generated. P-values under 0.1 were bolded.